Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Batra, Rohit"'
Autor:
Carrillo, Jan Michael Y., P, Vijith, Patra, Tarak K., Chen, Zhan, Russell, Thomas P., Sankaranarayanan, Subramanian KRS, Sumpter, Bobby G., Batra, Rohit
Star block copolymers (s-BCPs) have potential applications as novel surfactants or amphiphiles for emulsification, compatbilization, chemical transformations and separations. s-BCPs are star-shaped macromolecules comprised of linear chains of differe
Externí odkaz:
http://arxiv.org/abs/2308.08226
Autor:
Park, Tae Joon, Selcuk, Kemal, Zhang, Hai-Tian, Manna, Sukriti, Batra, Rohit, Wang, Qi, Yu, Haoming, Sankaranarayanan, Subramanian K. R. S., Zhou, Hua, Camsari, Kerem Y., Ramanathan, Shriram
Publikováno v:
Nano Letters (2022)
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance s
Externí odkaz:
http://arxiv.org/abs/2208.14408
Autor:
Balasubramanian, Karthik, Manna, Sukriti, Banik, Suvo, Srinivasan, Srilok, Batra, Rohit, Sankaranarayanan, Subramanian
Publikováno v:
In Computational Materials Science January 2025 246
Autor:
Banik, Suvo, Loeffler, Troy D, Batra, Rohit, Singh, Harpal, Cherukara, Mathew, Sankaranarayanan, Subramanian KRS
Publikováno v:
ACS Applied Materials & Interfaces,2021
Defect dynamics in materials are of central importance to a broad range of technologies from catalysis to energy storage systems to microelectronics. Material functionality depends strongly on the nature and organization of defects, their arrangement
Externí odkaz:
http://arxiv.org/abs/2106.10557
Autor:
Batra, Rohit, Dai, Hanjun, Huan, Tran Doan, Chen, Lihua, Kim, Chiho, Gutekunst, Will R., Song, Le, Ramprasad, Rampi
The design/discovery of new materials is highly non-trivial owing to the near-infinite possibilities of material candidates, and multiple required property/performance objectives. Thus, machine learning tools are now commonly employed to virtually sc
Externí odkaz:
http://arxiv.org/abs/2011.02551
Autor:
Chen, Lihua, Pilania, Ghanshyam, Batra, Rohit, Huan, Tran Doan, Kim, Chiho, Kuenneth, Christopher, Ramprasad, Rampi
Artificial intelligence (AI) based approaches are beginning to impact several domains of human life, science and technology. Polymer informatics is one such domain where AI and machine learning (ML) tools are being used in the efficient development,
Externí odkaz:
http://arxiv.org/abs/2011.00508
Autor:
Srinivasan, Srilok, Batra, Rohit, Luo, Duan, Loeffler, Troy, Manna, Sukriti, Chan, Henry, Yang, Liuxiang, Yang, Wenge, Wen, Jianguo, Darancet, Pierre, Sankaranarayanan, Subramanian
Phase diagrams are an invaluable tool for material synthesis and provide information on the phases of the material at any given thermodynamic condition. Conventional phase diagram generation involves experimentation to provide an initial estimate of
Externí odkaz:
http://arxiv.org/abs/2004.08753
Screening of Therapeutic Agents for COVID-19 using Machine Learning and Ensemble Docking Simulations
Autor:
Batra, Rohit, Chan, Henry, Kamath, Ganesh, Ramprasad, Rampi, Cherukara, Mathew J., Sankaranarayanan, Subramanian
The world has witnessed unprecedented human and economic loss from the COVID-19 disease, caused by the novel coronavirus SARS-CoV-2. Extensive research is being conducted across the globe to identify therapeutic agents against the SARS-CoV-2. Here, w
Externí odkaz:
http://arxiv.org/abs/2004.03766
Molecular dynamics (MD) is a powerful and popular tool for understanding the dynamical evolution of materials at the nano and mesoscopic scales. There are various flavors of MD ranging from the high fidelity albeit computationally expensive ab-initio
Externí odkaz:
http://arxiv.org/abs/2004.00232
The lattice thermal conductivity ($\kappa_{\rm L} $) is a critical property of thermoelectrics, thermal barrier coating materials and semiconductors. While accurate empirical measurements of $\kappa_{\rm L} $ are extremely challenging, it is usually
Externí odkaz:
http://arxiv.org/abs/1906.06378